ZipRecruiter

Log In

1

Insurance Data Analytics Jobs in Ohio (NOW HIRING)

Collabera

Data Analyst

Hilliard, OH

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Insurance, Disability Insurance. Analyze data for the purpose of identifying data anomalies ... Experience with Oracle or Teradata database desired Prior experience in a data analytics role ...

Central Mutual Insurance Company

Data Analyst

Van Wert, OH · On-site

  • Medical

  • Retirement

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you ...

Westfield

Data Governance Lead

Westfield Center, OH · On-site

Familiarity with NAIC guidelines, state insurance data regulations, and financial/actuarial data standards * Experience building governance programs that support AI or advanced analytics enablement

Communicarehealth

Senior Data Analyst

Blue Ash, OH

$82K - $104K/yr

Key Responsibilities Reporting & Analytics * Develop, maintain, and distribute daily, weekly, and ... Monitor upfront collections, insurance verification, and authorization performance * Support payer ...

Westfield

Data Governance Lead

Westfield Center, OH · Hybrid

Familiarity with NAIC guidelines, state insurance data regulations, and financial/actuarial data standards * Experience building governance programs that support AI or advanced analytics enablement

ACCEL Schools

Virtual Data Analysis Coach

Cleveland, OH · On-site

$45K - $58K/yr

Bachelor's degree in education, Data Analytics, Statistics, Educational Leadership, or a related ... Voluntary life insurance (employee, spouse, child) * Discounted childcare at Early Learning ...

New

centralins

Data Analyst

Van Wert, OH · Hybrid

  • Medical

  • Retirement

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you ...

centralins

Data Analyst

Dublin, OH · Hybrid

  • Medical

  • Retirement

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you ...

previous page

Showing results 41-60

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Ohio

Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Ohio?

The most popular types of Insurance Data Analytics jobs in Ohio are:

What are popular job titles related to Insurance Data Analytics jobs in Ohio?

For Insurance Data Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Ohio look for?

The top searched job categories for Insurance Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Insurance Data Analytics jobs?

Cities in Ohio with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Data Analyst

Collabera

Hilliard, OH

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Company Description

About Collabera:
Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace.
With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including.
Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here)
Collabera listed in GS 100 - recognized for excellence and maturity
Collabera named among the Top 500 Diversity Owned Businesses
Collabera listed in GS 100 & ranked among top 10 service providers
Collabera was ranked:
32 in the Top 100 Large Businesses in the U.S
18 in Top 500 Diversity Owned Businesses in the U.S
3 in the Top 100 Diversity Owned Businesses in New Jersey
3 in the Top 100 Privately-held Businesses in New Jersey
66th on FinTech 100
35th among top private companies in New Jersey
http://www.collabera.com/about_us/accolades.jsp
Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance.

Job Description

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining scope of impact
Recommend options to resolve issues
Find meaningful insights and communicate insights effectively
Design, implement and work audit processes
Develop reports and communicate research and findings
Manage multiple responsibilities and deadlines
Work independently with little supervision
Experience
Experience developing SQL statements required
Experience with R or SAS required.
Experience with Oracle or Teradata database desired
Prior experience in a data analytics role strongly preferred
Knowledge of statistical methods required
Education
BS in Statistics, Computer Science, or Applied Mathematics required with advanced degree preferred. Other relevant work experience may be substituted

Qualifications

BS in Statistics, Computer Science, or Applied Mathematics required with advanced degree preferred. Other relevant work experience may be substituted

Additional Information

If you are interested please send me your resume at [email protected] or call me at 973-774-7810

Apply